Lumnar Flow

Build MCP connectors for your AI.

Design automation flows on our canvas, then pack them as connectors for Claude, ChatGPT, or any MCP-ready app — so your AI can actually run your tools, not just talk about them.

Lumnar Flow visual workflow editor with modules, branches, and AI agents on the canvas, light theme Lumnar Flow visual workflow editor with modules, branches, and AI agents on the canvas, dark theme
How it works

Three steps and you're live.

No servers to spin up, no queue workers to run, no cron jobs to babysit.

Step 01

Connect

Plug in your AI key, webhooks, databases, whatever third-party APIs you need. Credentials get encrypted and stay scoped to the scenario you put them in.

Step 02

Build

Drag modules onto the canvas and wire them up. You see real data flowing through at every step, and you see what each module costs before you add it.

Step 03

Run

Ship it as a webhook, a schedule, an MCP endpoint, or a public URL. Logs, retention, and error reporting come built in.

Why Flow

A few things we do differently.

Every automation tool lets you drag boxes around. The differences live in the small stuff, which is usually also where the budget goes.

01 But can’t OpenClaw and Anthropic’s Dispatch do all this?

Yes they can, but not nearly as well. General-purpose AI tools do whatever they figure out to do, which works fine for a one-off question but gets messy when you need the same thing done reliably every day. Flow lets you define the behavior step by step, with precise control over each one. It behaves more like a program than an AI, even though it uses AI for the parts that actually need judgment.

That shows up on the bill too. Flow runs about $5 a month in platform compute. Those general-purpose tools can quietly rack up $500 a month in tokens for anything non-trivial.

02 Your own AI key. Zero markup.

Plug in your own OpenAI, Anthropic, or OpenRouter key and you pay the provider directly. We don’t resell tokens at a 20% uplift, and we don’t train models on your data.

03 Real AI agents, not wrapped prompts.

Tool-using agents, live-chat responders, orchestration steps. These are all proper modules, not prompts with a bit of glue around them. Branching, loops, sub-flows, conditions, you get all of that without building it yourself.

04 Custom modules for your systems.

Got an internal ERP, a legacy SOAP API, a proprietary scoring engine, some industry-specific SaaS that nobody else integrates with? Tell us. We’ll build you a proper module for it, not a generic REST wrapper that breaks on the third weird edge case. Request a custom module →

05 Transparent step-run pricing.

Every module shows its cost multiplier before you add it. An HTTP call is 1×, a vector DB query is 5×, an OCR run is 20×. You see what the flow will cost before you finish building it.

06 EU-hosted, GDPR-compliant.

Your flows, credentials, and run history all live in the EU. We don’t train any AI model on any of it, ever.

07 No DevOps required.

You don’t have to self-host like you would with n8n or Activepieces. We run the runtime, and execution logs, retention, and error reporting come out of the box.

Built for

What real teams run on Flow.

Customer-support AI agents WhatsApp & live-chat Webhook data pipelines PDF & OCR workflows Vector-DB RAG Legacy / ERP / SOAP Internal tools Email triage Scheduled reports MCP servers